Do you, your teams, and your organization need to calibrate, interpolate, and run statistics on your Industrial IoT sensor device measurements?

You’ll learn in this here write-up how to use calculators to automatically calibrate using mathematical techniques like graphing to interpolate with various algorithms:

First step is you’ll select one of your IoT sensor devices from your Device Manager on

Once you’re on the Device Details page for your sensor hub, you’ll mouse over the orange Configure Data Path menu and hover over then click the Other Calculators button. It’s also highlighted with a red oval in the screenshots so it’s easier for you to find it.

In the Configure Miscellaneous Calculators window you’ll select the Interpolate / Calibrate with a curved or linear graph option under basics.

Give your Interpolator / Sensor Calibration function a name by typing it into the name box. Then click the blue + icon to make your new IoT sensor graphing tool.

You’ll see the Edit Calculator window dialog box where you can create your new calculator to interpolate any of your sensor measurements, whether you’re monitoring water, air quality, bridges, vehicles, flooding, or anything else.

Type in a name for your calibration / interpolation graph. You’ll see a text description of what this calculator does:

Interpolate (or “calibrate”) incoming data based on a lookup table.

Choose from Linear, Cubic Spline, or Akima Spline algorithms.

Incoming data that fall below or above the defined range will be passed through unchanged.

Below the name field you’ll see a text field where you can type in a description of what your calculator is for, e.g., interpolating and calibrating temperature or air quality sensor measurements.

Select the field / column where you want the calculator output to go. In the screenshot you’ll see we’ve chosen the Calculated 04 field.

Choose the sensor field / column that’s the input to your calculator input, e.g., temperature, air quality, or water sensor measurements.

Now for the funnest part!

Enter your lookup table and calibration numbers for the x (in) and y (out) values that correspond to the interpolation and calibration routines for your IoT sensors.

The more the better.

You’ll need at least 3 for it to make sense and as a minimum requirement for the cubic spline. The Akima spline algorithm requires at least 5 pieces of training data.

Input your X and Y / Input -> Output values in the fields. You can add a pair of sensor calibration data points each time you click the green + icon.

If you need to delete a pair of interpolation inputs then clear the X value and click the blue reorganize / refresh button.

You can click the orange graph button to see a preview chart and visualization estimation of your spline in a plotly graph.

After you enable and save your calibration / interpolation curve graph, you’ll see it in the list of your calculators.

If you’ve got more than one calculator, you can drag and re-arrange the order of operations for which your calculators will run.

You might need one calculator to run before the other and use the output of one as the input to another calculator. Drag and drop your calculators and click the green button to save the order of operations.

Now you’ll see your Valarm Tools Cloud calculator results published throughout

In the screenshots you’ll see the sample sensor outputs in the Calc 04 column.

You can use your calculators for all of your Industrial IoT needs, including dashboards, graphing, and mapping in 2D and 3D.

These automatic calculators for calibration and interpolation are a result of what our customers, folks like you with real world experiences, told us they need. We understand Industrial IoT and remote monitoring customer needs.

We work hand in hand with organizations like yours, in various industries, to deploy effective remote monitoring systems. We’re not afraid to get our boots dirty with mud and make sure you’ve got monitoring solutions that improve your organization’s operations and save you time and money.

Let us know if you’ve got any software feature requests for Whether it’s additional graphing and interpolating algorithms, alerting techniques, or anything else you need, we’re here to help you.

Since is an open platform, you can integrate sensors from just about any hardware manufacturer. Our customers have favorites like 4-20mA and PWM sensors made by businesses like Flowline, McCrometer, In-Situ, and Senix. What’s your company’s preferred sensor vendor? We’ll work with you to deploy your most effective monitoring systems tailored to your specific scenario and environment.


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